function getechartopt_1(rows,ret,chart)
{
	var data = [
	            {name: '海门', value: 9},
	            {name: '鄂尔多斯', value: 12},
	            {name: '招远', value: 12},
	            {name: '舟山', value: 12},
	            {name: '齐齐哈尔', value: 14},
	            {name: '盐城', value: 15},
	            {name: '赤峰', value: 16},
	            {name: '青岛', value: 18},
	            {name: '乳山', value: 18},
	            {name: '金昌', value: 19},
	            {name: '泉州', value: 21},
	            {name: '莱西', value: 21},
	            {name: '日照', value: 21},
	            {name: '胶南', value: 22},
	            {name: '南通', value: 23},
	            {name: '拉萨', value: 24},
	            {name: '云浮', value: 24},
	            {name: '梅州', value: 25},
	            {name: '文登', value: 25},
	            {name: '上海', value: 25},
	            {name: '攀枝花', value: 25},
	            {name: '威海', value: 25},
	            {name: '承德', value: 25},
	            {name: '厦门', value: 26},
	            {name: '汕尾', value: 26},
	            {name: '潮州', value: 26},
	            {name: '丹东', value: 27},
	            {name: '太仓', value: 27},
	            {name: '曲靖', value: 27},
	            {name: '烟台', value: 28},
	            {name: '福州', value: 29},
	            {name: '瓦房店', value: 30},
	            {name: '即墨', value: 30},
	            {name: '抚顺', value: 31},
	            {name: '玉溪', value: 31},
	            {name: '张家口', value: 31},
	            {name: '阳泉', value: 31},
	            {name: '莱州', value: 32},
	            {name: '湖州', value: 32},
	            {name: '汕头', value: 32},
	            {name: '昆山', value: 33},
	            {name: '宁波', value: 33},
	            {name: '湛江', value: 33},
	            {name: '揭阳', value: 34},
	            {name: '荣成', value: 34},
	            {name: '连云港', value: 35},
	            {name: '葫芦岛', value: 35},
	            {name: '常熟', value: 36},
	            {name: '东莞', value: 36},
	            {name: '河源', value: 36},
	            {name: '淮安', value: 36},
	            {name: '泰州', value: 36},
	            {name: '南宁', value: 37},
	            {name: '营口', value: 37},
	            {name: '惠州', value: 37},
	            {name: '江阴', value: 37},
	            {name: '蓬莱', value: 37},
	            {name: '韶关', value: 38},
	            {name: '嘉峪关', value: 38},
	            {name: '广州', value: 38},
	            {name: '延安', value: 38},
	            {name: '太原', value: 39},
	            {name: '清远', value: 39},
	            {name: '中山', value: 39},
	            {name: '昆明', value: 39},
	            {name: '寿光', value: 40},
	            {name: '盘锦', value: 40},
	            {name: '长治', value: 41},
	            {name: '深圳', value: 41},
	            {name: '珠海', value: 42},
	            {name: '宿迁', value: 43},
	            {name: '咸阳', value: 43},
	            {name: '铜川', value: 44},
	            {name: '平度', value: 44},
	            {name: '佛山', value: 44},
	            {name: '海口', value: 44},
	            {name: '江门', value: 45},
	            {name: '章丘', value: 45},
	            {name: '肇庆', value: 46},
	            {name: '大连', value: 47},
	            {name: '临汾', value: 47},
	            {name: '吴江', value: 47},
	            {name: '石嘴山', value: 49},
	            {name: '沈阳', value: 50},
	            {name: '苏州', value: 50},
	            {name: '茂名', value: 50},
	            {name: '嘉兴', value: 51},
	            {name: '长春', value: 51},
	            {name: '胶州', value: 52},
	            {name: '银川', value: 52},
	            {name: '张家港', value: 52},
	            {name: '三门峡', value: 53},
	            {name: '锦州', value: 54},
	            {name: '南昌', value: 54},
	            {name: '柳州', value: 54},
	            {name: '三亚', value: 54},
	            {name: '自贡', value: 56},
	            {name: '吉林', value: 56},
	            {name: '阳江', value: 57},
	            {name: '泸州', value: 57},
	            {name: '西宁', value: 57},
	            {name: '宜宾', value: 58},
	            {name: '呼和浩特', value: 58},
	            {name: '成都', value: 58},
	            {name: '大同', value: 58},
	            {name: '镇江', value: 59},
	            {name: '桂林', value: 59},
	            {name: '张家界', value: 59},
	            {name: '宜兴', value: 59},
	            {name: '北海', value: 60},
	            {name: '西安', value: 61},
	            {name: '金坛', value: 62},
	            {name: '东营', value: 62},
	            {name: '牡丹江', value: 63},
	            {name: '遵义', value: 63},
	            {name: '绍兴', value: 63},
	            {name: '扬州', value: 64},
	            {name: '常州', value: 64},
	            {name: '潍坊', value: 65},
	            {name: '重庆', value: 66},
	            {name: '台州', value: 67},
	            {name: '南京', value: 67},
	            {name: '滨州', value: 70},
	            {name: '贵阳', value: 71},
	            {name: '无锡', value: 71},
	            {name: '本溪', value: 71},
	            {name: '克拉玛依', value: 72},
	            {name: '渭南', value: 72},
	            {name: '马鞍山', value: 72},
	            {name: '宝鸡', value: 72},
	            {name: '焦作', value: 75},
	            {name: '句容', value: 75},
	            {name: '北京', value: 79},
	            {name: '徐州', value: 79},
	            {name: '衡水', value: 80},
	            {name: '包头', value: 80},
	            {name: '绵阳', value: 80},
	            {name: '乌鲁木齐', value: 84},
	            {name: '枣庄', value: 84},
	            {name: '杭州', value: 84},
	            {name: '淄博', value: 85},
	            {name: '鞍山', value: 86},
	            {name: '溧阳', value: 86},
	            {name: '库尔勒', value: 86},
	            {name: '安阳', value: 90},
	            {name: '开封', value: 90},
	            {name: '济南', value: 92},
	            {name: '德阳', value: 93},
	            {name: '温州', value: 95},
	            {name: '九江', value: 96},
	            {name: '邯郸', value: 98},
	            {name: '临安', value: 99},
	            {name: '兰州', value: 99},
	            {name: '沧州', value: 100},
	            {name: '临沂', value: 103},
	            {name: '南充', value: 104},
	            {name: '天津', value: 105},
	            {name: '富阳', value: 106},
	            {name: '泰安', value: 112},
	            {name: '诸暨', value: 112},
	            {name: '郑州', value: 113},
	            {name: '哈尔滨', value: 114},
	            {name: '聊城', value: 116},
	            {name: '芜湖', value: 117},
	            {name: '唐山', value: 119},
	            {name: '平顶山', value: 119},
	            {name: '邢台', value: 119},
	            {name: '德州', value: 120},
	            {name: '济宁', value: 120},
	            {name: '荆州', value: 127},
	            {name: '宜昌', value: 130},
	            {name: '义乌', value: 132},
	            {name: '丽水', value: 133},
	            {name: '洛阳', value: 134},
	            {name: '秦皇岛', value: 136},
	            {name: '株洲', value: 143},
	            {name: '石家庄', value: 147},
	            {name: '莱芜', value: 148},
	            {name: '常德', value: 152},
	            {name: '保定', value: 153},
	            {name: '湘潭', value: 154},
	            {name: '金华', value: 157},
	            {name: '岳阳', value: 169},
	            {name: '长沙', value: 175},
	            {name: '衢州', value: 177},
	            {name: '廊坊', value: 193},
	            {name: '菏泽', value: 194},
	            {name: '合肥', value: 229},
	            {name: '武汉', value: 273},
	            {name: '大庆', value: 279}
	       ];
	       var geoCoordMap = {
	           '海门':[121.15,31.89],
	           '鄂尔多斯':[109.781327,39.608266],
	           '招远':[120.38,37.35],
	           '舟山':[122.207216,29.985295],
	           '齐齐哈尔':[123.97,47.33],
	           '盐城':[120.13,33.38],
	           '赤峰':[118.87,42.28],
	           '青岛':[120.33,36.07],
	           '乳山':[121.52,36.89],
	           '金昌':[102.188043,38.520089],
	           '泉州':[118.58,24.93],
	           '莱西':[120.53,36.86],
	           '日照':[119.46,35.42],
	           '胶南':[119.97,35.88],
	           '南通':[121.05,32.08],
	           '拉萨':[91.11,29.97],
	           '云浮':[112.02,22.93],
	           '梅州':[116.1,24.55],
	           '文登':[122.05,37.2],
	           '上海':[121.48,31.22],
	           '攀枝花':[101.718637,26.582347],
	           '威海':[122.1,37.5],
	           '承德':[117.93,40.97],
	           '厦门':[118.1,24.46],
	           '汕尾':[115.375279,22.786211],
	           '潮州':[116.63,23.68],
	           '丹东':[124.37,40.13],
	           '太仓':[121.1,31.45],
	           '曲靖':[103.79,25.51],
	           '烟台':[121.39,37.52],
	           '福州':[119.3,26.08],
	           '瓦房店':[121.979603,39.627114],
	           '即墨':[120.45,36.38],
	           '抚顺':[123.97,41.97],
	           '玉溪':[102.52,24.35],
	           '张家口':[114.87,40.82],
	           '阳泉':[113.57,37.85],
	           '莱州':[119.942327,37.177017],
	           '湖州':[120.1,30.86],
	           '汕头':[116.69,23.39],
	           '昆山':[120.95,31.39],
	           '宁波':[121.56,29.86],
	           '湛江':[110.359377,21.270708],
	           '揭阳':[116.35,23.55],
	           '荣成':[122.41,37.16],
	           '连云港':[119.16,34.59],
	           '葫芦岛':[120.836932,40.711052],
	           '常熟':[120.74,31.64],
	           '东莞':[113.75,23.04],
	           '河源':[114.68,23.73],
	           '淮安':[119.15,33.5],
	           '泰州':[119.9,32.49],
	           '南宁':[108.33,22.84],
	           '营口':[122.18,40.65],
	           '惠州':[114.4,23.09],
	           '江阴':[120.26,31.91],
	           '蓬莱':[120.75,37.8],
	           '韶关':[113.62,24.84],
	           '嘉峪关':[98.289152,39.77313],
	           '广州':[113.23,23.16],
	           '延安':[109.47,36.6],
	           '太原':[112.53,37.87],
	           '清远':[113.01,23.7],
	           '中山':[113.38,22.52],
	           '昆明':[102.73,25.04],
	           '寿光':[118.73,36.86],
	           '盘锦':[122.070714,41.119997],
	           '长治':[113.08,36.18],
	           '深圳':[114.07,22.62],
	           '珠海':[113.52,22.3],
	           '宿迁':[118.3,33.96],
	           '咸阳':[108.72,34.36],
	           '铜川':[109.11,35.09],
	           '平度':[119.97,36.77],
	           '佛山':[113.11,23.05],
	           '海口':[110.35,20.02],
	           '江门':[113.06,22.61],
	           '章丘':[117.53,36.72],
	           '肇庆':[112.44,23.05],
	           '大连':[121.62,38.92],
	           '临汾':[111.5,36.08],
	           '吴江':[120.63,31.16],
	           '石嘴山':[106.39,39.04],
	           '沈阳':[123.38,41.8],
	           '苏州':[120.62,31.32],
	           '茂名':[110.88,21.68],
	           '嘉兴':[120.76,30.77],
	           '长春':[125.35,43.88],
	           '胶州':[120.03336,36.264622],
	           '银川':[106.27,38.47],
	           '张家港':[120.555821,31.875428],
	           '三门峡':[111.19,34.76],
	           '锦州':[121.15,41.13],
	           '南昌':[115.89,28.68],
	           '柳州':[109.4,24.33],
	           '三亚':[109.511909,18.252847],
	           '自贡':[104.778442,29.33903],
	           '吉林':[126.57,43.87],
	           '阳江':[111.95,21.85],
	           '泸州':[105.39,28.91],
	           '西宁':[101.74,36.56],
	           '宜宾':[104.56,29.77],
	           '呼和浩特':[111.65,40.82],
	           '成都':[104.06,30.67],
	           '大同':[113.3,40.12],
	           '镇江':[119.44,32.2],
	           '桂林':[110.28,25.29],
	           '张家界':[110.479191,29.117096],
	           '宜兴':[119.82,31.36],
	           '北海':[109.12,21.49],
	           '西安':[108.95,34.27],
	           '金坛':[119.56,31.74],
	           '东营':[118.49,37.46],
	           '牡丹江':[129.58,44.6],
	           '遵义':[106.9,27.7],
	           '绍兴':[120.58,30.01],
	           '扬州':[119.42,32.39],
	           '常州':[119.95,31.79],
	           '潍坊':[119.1,36.62],
	           '重庆':[106.54,29.59],
	           '台州':[121.420757,28.656386],
	           '南京':[118.78,32.04],
	           '滨州':[118.03,37.36],
	           '贵阳':[106.71,26.57],
	           '无锡':[120.29,31.59],
	           '本溪':[123.73,41.3],
	           '克拉玛依':[84.77,45.59],
	           '渭南':[109.5,34.52],
	           '马鞍山':[118.48,31.56],
	           '宝鸡':[107.15,34.38],
	           '焦作':[113.21,35.24],
	           '句容':[119.16,31.95],
	           '北京':[116.46,39.92],
	           '徐州':[117.2,34.26],
	           '衡水':[115.72,37.72],
	           '包头':[110,40.58],
	           '绵阳':[104.73,31.48],
	           '乌鲁木齐':[87.68,43.77],
	           '枣庄':[117.57,34.86],
	           '杭州':[120.19,30.26],
	           '淄博':[118.05,36.78],
	           '鞍山':[122.85,41.12],
	           '溧阳':[119.48,31.43],
	           '库尔勒':[86.06,41.68],
	           '安阳':[114.35,36.1],
	           '开封':[114.35,34.79],
	           '济南':[117,36.65],
	           '德阳':[104.37,31.13],
	           '温州':[120.65,28.01],
	           '九江':[115.97,29.71],
	           '邯郸':[114.47,36.6],
	           '临安':[119.72,30.23],
	           '兰州':[103.73,36.03],
	           '沧州':[116.83,38.33],
	           '临沂':[118.35,35.05],
	           '南充':[106.110698,30.837793],
	           '天津':[117.2,39.13],
	           '富阳':[119.95,30.07],
	           '泰安':[117.13,36.18],
	           '诸暨':[120.23,29.71],
	           '郑州':[113.65,34.76],
	           '哈尔滨':[126.63,45.75],
	           '聊城':[115.97,36.45],
	           '芜湖':[118.38,31.33],
	           '唐山':[118.02,39.63],
	           '平顶山':[113.29,33.75],
	           '邢台':[114.48,37.05],
	           '德州':[116.29,37.45],
	           '济宁':[116.59,35.38],
	           '荆州':[112.239741,30.335165],
	           '宜昌':[111.3,30.7],
	           '义乌':[120.06,29.32],
	           '丽水':[119.92,28.45],
	           '洛阳':[112.44,34.7],
	           '秦皇岛':[119.57,39.95],
	           '株洲':[113.16,27.83],
	           '石家庄':[114.48,38.03],
	           '莱芜':[117.67,36.19],
	           '常德':[111.69,29.05],
	           '保定':[115.48,38.85],
	           '湘潭':[112.91,27.87],
	           '金华':[119.64,29.12],
	           '岳阳':[113.09,29.37],
	           '长沙':[113,28.21],
	           '衢州':[118.88,28.97],
	           '廊坊':[116.7,39.53],
	           '菏泽':[115.480656,35.23375],
	           '合肥':[117.27,31.86],
	           '武汉':[114.31,30.52],
	           '大庆':[125.03,46.58]
	       };

	       var convertData = function (data) {
	           var res = [];
	           for (var i = 0; i < data.length; i++) {
	               var geoCoord = geoCoordMap[data[i].name];
	               if (geoCoord) {
	                   res.push({
	                       name: data[i].name,
	                       value: geoCoord.concat(data[i].value)
	                   });
	               }
	           }
	           return res;
	       };

	 var      option = {
	           backgroundColor: '#404a59',
	           title: {
	               text: '全国主要城市空气质量',
	               subtext: 'data from PM25.in',
	               sublink: 'http://www.pm25.in',
	               left: 'center',
	               textStyle: {
	                   color: '#fff'
	               }
	           },
	           tooltip : {
	               trigger: 'item'
	           },
	           legend: {
	               orient: 'vertical',
	               y: 'bottom',
	               x:'right',
	               data:['pm2.5'],
	               textStyle: {
	                   color: '#fff'
	               }
	           },
	           geo: {
	               map: 'china',
	               label: {
	                   emphasis: {
	                       show: false
	                   }
	               },
	               roam: true,
	               itemStyle: {
	                   normal: {
	                       areaColor: '#323c48',
	                       borderColor: '#111'
	                   },
	                   emphasis: {
	                       areaColor: '#2a333d'
	                   }
	               }
	           },
	           series : [
	               {
	                   name: 'pm2.5',
	                   type: 'scatter',
	                   coordinateSystem: 'geo',
	                   data: convertData(data),
	                   symbolSize: function (val) {
	                       return val[2] / 10;
	                   },
	                   label: {
	                       normal: {
	                           formatter: '{b}',
	                           position: 'right',
	                           show: false
	                       },
	                       emphasis: {
	                           show: true
	                       }
	                   },
	                   itemStyle: {
	                       normal: {
	                           color: '#ddb926'
	                       }
	                   }
	               },
	               {
	                   name: 'Top 5',
	                   type: 'effectScatter',
	                   coordinateSystem: 'geo',
	                   data: convertData(data.sort(function (a, b) {
	                       return b.value - a.value;
	                   }).slice(0, 6)),
	                   symbolSize: function (val) {
	                       return val[2] / 10;
	                   },
	                   showEffectOn: 'render',
	                   rippleEffect: {
	                       brushType: 'stroke'
	                   },
	                   hoverAnimation: true,
	                   label: {
	                       normal: {
	                           formatter: '{b}',
	                           position: 'right',
	                           show: true
	                       }
	                   },
	                   itemStyle: {
	                       normal: {
	                           color: '#f4e925',
	                           shadowBlur: 10,
	                           shadowColor: '#333'
	                       }
	                   },
	                   zlevel: 1
	               }
	           ]
	       };
	    return option;
}


function getechartopt_2(rows,ret,chart)
{
	var option = {
		    title : {
		        text: '男性女性身高体重分布',
		        subtext: '抽样调查来自: Heinz  2003'
		    },
		    grid: {
		        left: '3%',
		        right: '4%',
		        bottom: '3%',
		        containLabel: true
		    },
		    tooltip : {
		        trigger: 'axis',
		        showDelay : 0,
		        formatter : function (params) {
		            if (params.value.length > 1) {
		                return params.seriesName + ' :<br/>'
		                   + params.value[0] + 'cm '
		                   + params.value[1] + 'kg ';
		            }
		            else {
		                return params.seriesName + ' :<br/>'
		                   + params.name + ' : '
		                   + params.value + 'kg ';
		            }
		        },
		        axisPointer:{
		            show: true,
		            type : 'cross',
		            lineStyle: {
		                type : 'dashed',
		                width : 1
		            }
		        }
		    },
		    legend: {
		        data: ['女性','男性'],
		        left: 'right'
		    },
		    xAxis : [
		        {
		            type : 'value',
		            scale:true,
		            axisLabel : {
		                formatter: '{value} cm'
		            },
		            splitLine: {
		                lineStyle: {
		                    type: 'dashed'
		                }
		            }
		        }
		    ],
		    yAxis : [
		        {
		            type : 'value',
		            scale:true,
		            axisLabel : {
		                formatter: '{value} kg'
		            },
		            splitLine: {
		                lineStyle: {
		                    type: 'dashed'
		                }
		            }
		        }
		    ],
		    series : [
		        {
		            name:'女性',
		            type:'scatter',
		            data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],
		                [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],
		                [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],
		                [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],
		                [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],
		                [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],
		                [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],
		                [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],
		                [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],
		                [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],
		                [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3],
		                [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3],
		                [156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0],
		                [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7],
		                [151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5],
		                [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2],
		                [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8],
		                [163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9],
		                [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2],
		                [159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4],
		                [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4],
		                [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2],
		                [166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0],
		                [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0],
		                [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4],
		                [172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4],
		                [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5],
		                [158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5],
		                [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2],
		                [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2],
		                [160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3],
		                [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5],
		                [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4],
		                [167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6],
		                [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8],
		                [177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1],
		                [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5],
		                [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2],
		                [165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6],
		                [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0],
		                [162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0],
		                [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9],
		                [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1],
		                [161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4],
		                [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7],
		                [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5],
		                [167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8],
		                [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0],
		                [174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9],
		                [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6],
		                [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8],
		                [176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]
		            ],
		            markPoint : {
		                data : [
		                    {type : 'max', name: '最大值'},
		                    {type : 'min', name: '最小值'}
		                ]
		            },
		            markLine : {
		                data : [
		                    {type : 'average', name: '平均值'}
		                ]
		            }
		        },
		        {
		            name:'男性',
		            type:'scatter',
		            data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8],
		                [181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6],
		                [180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0],
		                [184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9],
		                [176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8],
		                [178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9],
		                [183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1],
		                [170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1],
		                [186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6],
		                [182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1],
		                [169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2],
		                [163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2],
		                [177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0],
		                [167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2],
		                [171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2],
		                [174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9],
		                [180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9],
		                [180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0],
		                [175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3],
		                [176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7],
		                [184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5],
		                [157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3],
		                [165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1],
		                [185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0],
		                [177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2],
		                [188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1],
		                [166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6],
		                [185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1],
		                [190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5],
		                [176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1],
		                [172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5],
		                [167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5],
		                [172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9],
		                [193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1],
		                [167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8],
		                [188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5],
		                [171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4],
		                [182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5],
		                [188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6],
		                [175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7],
		                [177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5],
		                [174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6],
		                [167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7],
		                [175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0],
		                [177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3],
		                [174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3],
		                [174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9],
		                [180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1],
		                [170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1],
		                [180.3, 83.2], [180.3, 83.2]
		            ],
		            markPoint : {
		                data : [
		                    {type : 'max', name: '最大值'},
		                    {type : 'min', name: '最小值'}
		                ]
		            },
		            markLine : {
		                data : [
		                    {type : 'average', name: '平均值'}
		                ]
		            }
		        }
		    ]
		};
	return option;
}